Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/138271
Title: FaceCollage : a rapidly deployable system for real-time head reconstruction for on-the-go 3D telepresence
Authors: Tan, Fuwen
Fu, Chi-Wing
Deng, Teng
Cai, Jianfei
Cham, Tat-Jen
Keywords: Engineering::Computer science and engineering
Issue Date: 2017
Source: Tan, F., Fu, C.-W., Deng, T., Cai, J., & Cham, T.-J. (2017). FaceCollage : a rapidly deployable system for real-time head reconstruction for on-the-go 3D telepresence. Proceedings of the 25th ACM international conference on Multimedia (MM '17), 64-72. doi:10.1145/3123266.3123281
Abstract: This paper presents FaceCollage, a robust and real-time system for head reconstruction that can be used to create easy-to-deploy telepresence systems, using a pair of consumer-grade RGBD cameras that provide a wide range of views of the reconstructed user. A key feature is that the system is very simple to rapidly deploy, with autonomous calibration and requiring minimal intervention from the user, other than casually placing the cameras. This system is realized through three technical contributions: (1) a fully automatic calibration method, which analyzes and correlates the left and right RGBD faces just by the face features; (2) an implementation that exploits the parallel computation capability of GPU throughout most of the system pipeline, in order to attain real-time performance; and (3) a complete integrated system on which we conducted various experiments to demonstrate its capability, robustness, and performance, including testing the system on twelve participants with visually-pleasing results.
URI: https://hdl.handle.net/10356/138271
ISBN: 9781450349062
DOI: 10.1145/3123266.3123281
Rights: © 2017 Association for Computing Machinery. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:IMI Conference Papers

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